This case should be optimized to be the flipped join(VALUES, BGP)
(prefix ((lsr: <lsr:>))
(sequence
(table (vars ?s)
(row [?s lsr:10609f75-5cf3-4544-8fc1-c361778c3bd8])
(row [?s lsr:88d0bb8c-35d8-4051-a27d-a0d93af77985])
(row [?s lsr:fc7b2c65-453e-469b-9c5d-8c7ee4ee6902])
(row [?s lsr:239c6da0-4c24-4539-a277-c9756d6257ee])
(row [?s lsr:2ef0190d-6271-447a-992f-6225fc440897])
(row [?s lsr:6aaf601c-ccf4-4e59-9757-1a463db49fa9])
(row [?s lsr:d7c9dc96-cd61-4a31-b466-bb2491a3ceaf])
(row [?s lsr:6f6802cf-0336-4234-90b8-cc8780058f0d])
(row [?s lsr:d1e2751b-4332-4d57-95e4-ca8070c16782])
(row [?s lsr:81053775-4722-4a00-b3f7-33d4feb3629b])
)
(bgp (triple ?s ?p ?o))))
Andy
On 29/01/2019 14:28, Rob Vesse wrote:
This may be partly a case of a simple looking query having unexpected execution
semantics. Strictly speaking your query says select all triples in the
specific graph then join them with these list of values for ?s. Now the
optimiser should, and does appear, to do the right thing and flip the join
order i.e. it uses the concrete values from the VALUES block to search for
triples with those subjects in the specific graph. However if the query had
other elements involved the optimiser might not kick in, a better query would
place the VALUES prior to using the variables defined in the VALUES block.
This sounds like memory/cache thrashing. From what you have described, running
variants on this query 50k times, you are basically walking over your entire
dataset extracting it piece by piece?
Assuming the Graph URI and the URIs in your VALUES block change in each query
then every query is looking at a different section of the database causing a
lot of data to be cached and then evicted both in terms of on-heap memory
structures (the node table cache) and potentially also for the off heap memory
mapped files which may be being paged in and out as the code traverses the
B-Tree indexes.
Is there also some other query involved that extracts the Graph URIs and
Subject URIs of interest that is being executed in parallel with the script?
Or has the input from the script been pre-calculated ahead of time, comes from
elsewhere etc?
Rob
On 29/01/2019, 14:06, "Mikael Pesonen" <mikael.peso...@lingsoft.fi> wrote:
Server:
/usr/bin/java
-Dlog4j.configuration=file:/home/text/tools/apache-jena-fuseki-3.9.0/log4j.properties
-Xmx5600M -jar fuseki-server.jar --update --port 3030
--loc=/home/text/tools/jena_data_test/ /ds
No custom configs, default installation package.
Sparql similar to this (returns 5-10 triplets) :
CONSTRUCT { ?s ?p ?o }
FROM <https://resource.lingsoft.fi/4f13c609-48b4-4e4d-a40b-2d7946f88234/>
WHERE
{
?s ?p ?o
VALUES ?s {lsr:10609f75-5cf3-4544-8fc1-c361778c3bd8
lsr:88d0bb8c-35d8-4051-a27d-a0d93af77985
lsr:fc7b2c65-453e-469b-9c5d-8c7ee4ee6902
lsr:239c6da0-4c24-4539-a277-c9756d6257ee
lsr:2ef0190d-6271-447a-992f-6225fc440897
lsr:6aaf601c-ccf4-4e59-9757-1a463db49fa9
lsr:d7c9dc96-cd61-4a31-b466-bb2491a3ceaf
lsr:6f6802cf-0336-4234-90b8-cc8780058f0d
lsr:d1e2751b-4332-4d57-95e4-ca8070c16782
lsr:81053775-4722-4a00-b3f7-33d4feb3629b}
}
I solved this by adding sleep to script. So I guess it's about the java
memory manager not getting time to free memory? Even with sleep it was
barely doable, memory consumption changing rapidly between 1,5 gig - 6 gig.
On 29/01/2019 15:50, Andy Seaborne wrote:
> Mikael,
>
> There aren't enough details except to mention the suspects like sorting.
>
> With all the questions on the list, I personally don't track the
> details of each installation so please also remind me of your current
> setup.
>
> Andy
>
> On 29/01/2019 11:32, Mikael Pesonen wrote:
>>
>> I'm not able to run a basic read-only script without running out of
>> memory on the server.
>>
>> Consumption goes to 7+gigs (VM 10+ gigs), then system kills Fuseki
>> when running out of memory.
>> All I'm running is simple sparql query getting few triples of
>> resource. This is run for about 50k times.
>>
>> All settings are default, using GSP.
>>
>>
--
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